Peizhao Li - RankMe

40 papers A* 12A 2B 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Leveraging VGG-19 for automated fruit classification in smart agriculture. PeerJ Comput. Sci. Saba Sajid, Peizhao Li, Li Zhang, Cao Jie, Asif Ali, Farman Ullah
2025	J	`jnl`	Performance investigation on disaggregated artificial intelligence data centers beyond rack scale with optical switching. J. Opt. Commun. Netw. Fulong Yan, Hanting Huang, Yanxian Bi, Peizhao Li, Zhiwen Xue, Chao Li, Zichen Liu, Zhixue He, Zihao Li, Qidong Cao
2025	—	`conf`	Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models. NAACL (Findings) Zizhang Chen, Peizhao Li, Xiaomeng Dong, Pengyu Hong
2024	A*	`conf`	"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection. ICLR Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
2024	J	`jnl`	Adaptive edge prior-based deep attention residual network for low-dose CT image denoising. Biomed. Signal Process. Control. Tong Wu, Peizhao Li, Jie Sun, Binh P. Nguyen
2024	J	`jnl`	BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement. CoRR Yuhao Du, Shunian Chen, Wenbo Zan, Peizhao Li, Mingxuan Wang, Dingjie Song, Bo Li, Yan Hu, Benyou Wang
2024	—	`conf`	MMVR: Millimeter-Wave Multi-view Radar Dataset and Benchmark for Indoor Perception. ECCV (79) Mohammad Mahbubur Rahman, Ryoma Yataka, Sorachi Kato, Pu Wang, Peizhao Li, Adriano Cardace, Petros Boufounos
2024	J	`jnl`	MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception. CoRR Mohammad Mahbubur Rahman, Ryoma Yataka, Sorachi Kato, Pu Perry Wang, Peizhao Li, Adriano Cardace, Petros Boufounos
2024	J	`jnl`	Patent lifetime prediction using LightGBM with a customized loss. PeerJ Comput. Sci. Jieming Liu, Peizhao Li, Xiaowei Liu
2024	A*	`conf`	Rich Human Feedback for Text-to-Image Generation. CVPR Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katherine M. Collins, Yiwen Luo, Yang Li, Kai J. Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam
2024	J	`jnl`	Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models. CoRR Zizhang Chen, Peizhao Li, Xiaomeng Dong, Pengyu Hong
2024	A*	`conf`	UniAR: A Unified model for predicting human Attention and Responses on visual content. NeurIPS Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, Nachiappan Valliappan, Youwei Liang, Hongxiang Gu, Venky Ramachandran, Golnaz Farhadi, Yang Li, Kai Kohlhoff, Vidhya Navalpakkam
2023	A*	`conf`	Characterizing the Influence of Graph Elements. ICLR Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong
2023	J	`jnl`	Dual Node and Edge Fairness-Aware Graph Partition. CoRR TingWei Liu, Peizhao Li, Hongfu Liu
2023	A*	`conf`	Learning Antidote Data to Individual Unfairness. ICML Peizhao Li, Ethan Xia, Hongfu Liu
2023	—	`conf`	Mining Label Distribution Drift in Unsupervised Domain Adaptation. AI (1) Peizhao Li, Zhengming Ding, Hongfu Liu
2023	J	`jnl`	Rich Human Feedback for Text-to-Image Generation. CoRR Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katie Collins, Yiwen Luo, Yang Li, Kai J. Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam
2023	A*	`conf`	Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. ICLR Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
2023	J	`jnl`	UniAR: Unifying Human Attention and Response Prediction on Visual Content. CoRR Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, Nachiappan Valliappan, Youwei Liang, Hongxiang Gu, Venky Ramachandran, Golnaz Farhadi, Yang Li, Kai J. Kohlhoff, Vidhya Navalpakkam
2022	A*	`conf`	Achieving Fairness at No Utility Cost via Data Reweighing with Influence. ICML Peizhao Li, Hongfu Liu
2022	J	`jnl`	Achieving Fairness at No Utility Cost via Data Reweighing. CoRR Peizhao Li, Hongfu Liu
2022	J	`jnl`	Characterizing the Influence of Graph Elements. CoRR Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong
2022	A*	`conf`	Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CVPR Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu
2022	J	`jnl`	Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CoRR Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu
2022	J	`jnl`	Learning Antidote Data to Individual Unfairness. CoRR Peizhao Li, Ethan Xia, Hongfu Liu
2022	J	`jnl`	Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. CoRR Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
2021	A*	`conf`	Deep Clustering based Fair Outlier Detection. KDD Hanyu Song, Peizhao Li, Hongfu Liu
2021	J	`jnl`	Deep Clustering based Fair Outlier Detection. CoRR Hanyu Song, Peizhao Li, Hongfu Liu
2021	A*	`conf`	On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. ICLR Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu
2021	A*	`conf`	SelfDoc: Self-Supervised Document Representation Learning. CVPR Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
2021	J	`jnl`	SelfDoc: Self-Supervised Document Representation Learning. CoRR Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
2020	A*	`conf`	Deep Fair Clustering for Visual Learning. CVPR Peizhao Li, Han Zhao, Hongfu Liu
2020	J	`jnl`	Mining Label Distribution Drift in Unsupervised Domain Adaptation. CoRR Peizhao Li, Zhengming Ding, Hongfu Liu
2020	J	`jnl`	Phase Shifter-Relaxed and Control-Relaxed Continuous Steering Multiple Beamforming 4 × 4 Butler Matrix Phased Array. IEEE Trans. Circuits Syst. Han Ren, Peizhao Li, Yixin Gu, Bayaner Arigong
2019	J	`jnl`	Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking. CoRR Xiaolong Jiang, Peizhao Li, Yanjing Li, Xiantong Zhen
2019	A	`conf`	Model-Free Tracking With Deep Appearance and Motion Features Integration. WACV Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao
2019	A	`conf`	Multi-Scale Aggregation Network for Direct Face Alignment. WACV Peizhao Li, Anran Zhang, Lei Yue, Xiantong Zhen, Xianbin Cao
2019	B	`conf`	Two-Stream Multi-Task Network for Fashion Recognition. ICIP Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen
2019	J	`jnl`	Two-Stream Multi-Task Network for Fashion Recognition. CoRR Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen
2018	J	`jnl`	Model-free Tracking with Deep Appearance and Motion Features Integration. CoRR Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao